no code implementations • 6 Apr 2020 • Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani
We test this approach on a previously reported large-scale experimental system, compare it to the commonly used grid search, and report notable improvements in performance and the number of experimental iterations required to optimise the hyper-parameters.
no code implementations • 6 Apr 2020 • Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani
The recognition of human actions in video streams is a challenging task in computer vision, with cardinal applications in e. g. brain-computer interface and surveillance.
no code implementations • 6 Apr 2020 • Piotr Antonik, Nicolas Marsal, Damien Rontani
We propose a scalable photonic architecture for implementation of feedforward and recurrent neural networks to perform the classification of handwritten digits from the MNIST database.